Senior Voice AI Engineer — HIPAA-Compliant AI Receptionist Platform

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

• Generating client proposals using historical SharePoint data and CRM insights
• Summarizing meeting transcripts
• Drafting follow-up communications
• Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

• Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
• Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
• Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
• Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
• Drive architecture decisions balancing scalability, performance, and security
• Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
• Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

• 5+ years in full-stack development (Python backend + React/JavaScript frontend)
• Strong experience in API and microservice integration
• 2+ years leading technical teams and coordinating distributed engineering efforts
• 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
• Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

• Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
• Ensuring backend and AI systems are scalable, reliable, observable, and secure
• Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
• Experience building production-grade AI systems within enterprise SaaS ecosystems

Build AI where the work actually happens.

Celeco works inside real businesses to understand critical workflows, ship production AI systems and stay through adoption.

We are hiring our first Intelligence Architect (Forward-Deployed AI Engineer).

⌁

Full-time · Remote-first · Optional hybrid in Bengaluru

At least one year of professional engineering experience. Customer travel when the work requires it.

The role

An Intelligence Architect enters a customer environment with an unfinished question and leaves behind a working, measurable system.

This is a hands-on engineering role at the boundary of product, operations and customer delivery. You will learn the domain, inspect the existing systems and data, decide what should be built, and write the code that puts it into production.

What you will own

• Interview and shadow the people doing the work, then map the real workflow, including hand-offs, exceptions and workarounds.
• Understand the customer's application stack, APIs, data, identity model, security constraints and deployment environment.
• Turn business goals into a technical scope, system design, delivery plan and measures of success.
• Build across the stack: AI workflows, data pipelines, integrations, backend services and the interfaces people use.
• Choose the simplest reliable approach. The answer may combine agents, retrieval, rules and conventional software.
• Create evals from representative cases, define quality and failure metrics, inspect traces, red-team the system and set launch thresholds.
• Make practical trade-offs across accuracy, latency, cost, privacy, security and speed.
• Take prototypes into production with tests, monitoring, access controls, documentation and a plan for failure and recovery.
• Work beside customer teams during rollout and improve the system until it becomes part of the workflow.
• Turn what works into reusable components, evaluation sets and playbooks for future Celeco deployments.

You will probably thrive here if

• You have at least one year of professional software or product engineering experience.
• You have shipped a real system used by other people and can explain what you owned, what broke and what you changed.
• You are strong in Python or TypeScript and comfortable moving across unfamiliar codebases, APIs, databases and cloud services.
• You have built with language or multimodal models and understand prompting, structured outputs, retrieval, tool use and model failure modes.
• You use Cursor, Codex, Claude Code or similar tools as part of your engineering workflow, while still reviewing, testing and understanding the code you ship.
• You can create an evaluation set, choose useful quality metrics and improve a system through error analysis instead of prompt guesswork.
• You can speak with an operator, an engineering team and a senior leader without losing the thread of the problem.
• You work well with incomplete requirements, write clearly and surface risks early.
• You care about whether people use what you build and whether it changes a business outcome.
• You can commit full-time and travel to customer sites when discovery or rollout is better done in person.

Experience with cloud deployment, containers, CI/CD, observability, enterprise integrations, authentication or security is useful. We do not expect one person to arrive knowing every framework, cloud or industry.

What you will get

• Direct ownership of live customer problems from discovery through production.
• Close collaboration with Celeco's founders and customer leadership teams.
• Exposure to different industries, operating models and technical environments.
• The freedom to choose the technical approach and the responsibility to prove that it works.
• A role in defining Celeco's engineering methods, reusable systems and technical culture while the company is early.
• A remote-first setup, with the option to work together in Bengaluru.

If the work sounds like you but your background is unconventional, apply. We care more about what you have built, how you think and how quickly you learn than pedigree.

Location: Jaipur, Rajasthan (Work From Office)

Experience: 4+ Years

Job Type: Full-Time

We're looking for an AI Assisted Developer who is passionate about building modern applications using AI-powered coding tools. You'll leverage AI to accelerate development while delivering scalable, high-quality software solutions.

Key Responsibilities

• Build scalable web applications, APIs, and automation workflows.
• Leverage GitHub Copilot, Cursor, Claude Code, ChatGPT, and similar AI tools to improve development productivity.
• Optimize AI prompts and workflows for efficient coding.
• Apply best practices in system design, TDD, debugging, testing, and code reviews.
• Collaborate with Product, QA, and DevOps teams to deliver high-quality software.
• Stay up to date with emerging AI development tools and technologies.

Requirements

• 4+ years of software development experience.
• Proficiency in Python, JavaScript/TypeScript, or Go.
• Experience with React, Node.js, or modern development frameworks.
• Hands-on experience with GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar AI coding tools.
• Strong understanding of Git, CI/CD, SQL/NoSQL, system design, and software engineering principles.
• Excellent problem-solving and communication skills.

Preferred: Experience with LangChain, LangGraph, OpenAI APIs, FastAPI, Agentic AI, MCP, Prompt Engineering, AI Automation, or AWS/Azure/GCP.

Apply Now

Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

We are a Florida-based nonprofit organization seeking a full-time remote AI Programmer to support automation and AI-driven workflows.

Schedule:

42 hours per week

Flexible schedule overlap with EST preferred

Compensation:

$750 to $1,000 + bonus

Long-term contractor role

Responsibilities:

• Build and maintain AI-driven websites, apps, and automation systems
• Work with large language model APIs (OpenAI, Gemini, etc.)
• Improve prompt engineering and structured outputs
• Optimize performance and reliability

Requirements:

• Experience working with APIs (REST, JSON)
• Experience with PHP, React.js, and database systems.
• Familiarity with LLM models and prompt design
• Understanding of automation workflows
• Reliable high-speed internet
• Ability to communicate clearly in English

Preferred (not required):

• Experience with image generation APIs
• Experience with Google Sheets / Apps Script
• Experience deploying lightweight cloud functions

To apply, please reply with:

• Your resume
• Examples of relevant AI or automation work
• GitHub or portfolio (if available)
• Your current location and availability

Qualified applicants will receive a follow-up application link.

About CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

Experienced Senior Full Stack Engineer to Build & Backend for Event Ticketing Platform Using Claude Code

Overview

We have the frontend already built in Replit for both user and admin experiences. We are looking for a very experienced software engineer to design, build, and scale a production ready backend for a high concurrency event ticketing platform.

This role is for a true senior engineer who actively uses Claude Code as part of their daily development workflow, understands how to review and harden AI assisted output, and can ship systems that hold up under real world load, QA, and security testing.

This is not a prototype or demo system. This backend must be reliable, scalable, secure, and extremely well documented.

What You Will Be Building

• Backend services for an event ticketing platform

• Multi tenant architecture supporting thousands of organizers and events

• High concurrency purchase and checkout flows

• Secure user, admin, and system level access controls

• Production deployments with secrets management, middleware, and security layers

• Observability, logging, and metrics suitable for QA and load testing

• A thoroughly documented backend that future engineers can onboard into quickly

Core Engineering Requirements

• 10 plus years of professional software engineering experience

• Expert level experience using Claude Code or equivalent AI coding agents in real production workflows

• Deep experience building backends with Node.js

• Strong experience with Supabase and PostgreSQL

• Experience deploying and scaling applications on Vercel

• Proven experience extending existing codebases safely

• Strong API design and database performance fundamentals

• Ability to reason clearly about concurrency, transactions, and failure modes

Scalability and Performance Expectations

The backend must be designed to support:

• Hundreds of thousands of ticket purchases

• Thousands of concurrent users and tenants

• Large traffic spikes during on sale windows

• Load testing across all major latency percentiles including p90, p95, and p99

• Extremely low tail latency under high concurrency

• Graceful degradation and recovery under stress

You should be comfortable designing and implementing caching strategies, queue based workflows, idempotent operations, locking mechanisms, and transactional safety.

Security and Production Readiness

You must be able to:

• Set up production environments with proper secrets management

• Implement middleware for authentication, authorization, and rate limiting

• Design secure communication between frontend and backend

• Apply industry best practices for security hardening

• Prepare the system to pass penetration testing

• Maintain clean separation of concerns and least privilege access

Documentation and Developer Experience Requirements

High quality documentation is a hard requirement for this role.

You must have experience:

• Using AI powered documentation tools to generate and maintain technical documentation

• Producing clear architectural overviews and system diagrams

• Writing detailed README files and onboarding guides

• Documenting APIs, data models, and critical flows

• Keeping documentation in sync with code changes over time

We expect the backend to be easy to understand, easy to extend, and well explained for future engineers.

How We Evaluate Candidates

We are looking for engineers who can demonstrate:

• Real production systems they have built or scaled

• Clear judgment in how they use Claude Code and validate AI generated output

• Strong opinions on production readiness backed by experience

• The ability to move fast without sacrificing quality or safety

A short paid technical task may be used that involves real backend work with production quality code and documentation.

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Procedure is hiring for WorkHero.

Across the U.S., thousands of small HVAC businesses are drowning in admin. WorkHero pairs seasoned office managers with AI workflows to free up their time, unlock growth, and modernize the trades. We handle everything that touches the back office of a small HVAC operation: billing, rebates, permits, warranties, marketing, and more. Our customers save dozens of hours every week, allowing them to focus on growing their business.

We are building at the intersection of Human and AI automation, and that’s where you come in!

How you will help us achieve it

As an Applied AI Engineer, you will collaborate with the company founders, product team, and office managers to develop agentic workflows for many of their daily processes. You will ideate, design, implement, and maintain the software side of the product. You will design the UX, develop the front end interfaces, build backend routes and design database models. The bulk of this role is interacting with office managers to understand their workflows and then creating and managing AI agents & workflows to make them more efficient.

In your day to day, you will:

• Partner with our frontline staff to understand their work so you can automate it with AI and save them time
• Live on the cutting edge of Human & AI interactions, keeping up to date with the latest patterns and how they apply to WorkHero and our workflows
• Contribute to exceptional code quality and performance of the code base
• Mentor young engineer(s) to be great at their craft, as our team grows

Key Details

• You can work remotely from anywhere with an overlap of at least four hours with the product team (6 pm to 10 pm IST)
• This role involves participating in calls with US-based stakeholders
• The compensation comes with a salary and an equity component
• Location - Remote
• YOE - 5 to 10 years
• NP - Immediate to 30 days

You’ll thrive if you

• Care about your craft and the mission of the software you are developing
• Are enterprising and can figure out how to convert workflows/playbooks to AI agents
• Work with cutting-edge AI tools and APIs
• Don’t just complete tickets that are assigned to you; you think deeply about the product and how you can make it great, then put that into action
• Enjoy developing 0-1 software products iteratively
• Are proficient in the Typescript ecosystem, including monorepos.
• Are skilled in React and Express (Koa is a plus) or similar tech
• Are pragmatic and understand trade-offs in software engineering

Requirements

• 4+ years of experience in building software products
• Have created applications using AI and LLMs. Can understand when to prompt, use RAG, create agents or fine-tune an LLM
• Have solid experience with the MERN stack
• Ability to debug and optimize complex systems
• Excellent communication and collaboration skills

Bonus points if you have

• Experience in mentoring junior team members. Better if they had gone to replace you in your team, allowing you to take up a more meaningful role
• Familiarity with our tech stack (React, Koa, Mongo, AWS, React Native)
• A good understanding of UX best practices for SaaS based interfaces & AI
• Built apps using React Native
• A deep understanding of infrastructure and can optimize for cost
• Set up evaluation frameworks for agentic workflows
• Contributed to open-source projects

Your First Six Months

• You will be working on creating AI Agents/Workflows based on the playbooks for some of the crucial workflows of HVAC office managers
• You will work on building the frontend, APIs and apply AI knowledge to add features to the office manager and admin portal, as well as the mobile app
• You will be using Vercel AI SDK to create abstracted AI agents and workflows with the capability of falling back to different providers
• You will demo the agentic workflows to US-based stakeholders—small HVAC business owners, product team and office managers
• You will monitor and manage the AI Workflows, ensuring quality and accuracy, improving them over time

About engineering at WorkHero

We value:

• High ownership and fast iteration
• Deep understanding our tools and systems
• Continuous improvement, both technically and interpersonal

Our technology stack:

• Full Stack TypeScript (React, React Native, KoaJS Backend, CRXJS Browser Extension)
• NX Monorepo with shared typing & libraries
• Infrastructure:
• AWS (ECS, Hosted RMQ)
• MongoDB Atlas
• Firebase & GCP services
• AI Tooling (Anthropic, OpenAI, Gemini, Deepgram)

Our team

• The Company is funded by Workshop Ventures Partners, a US-based venture studio focused on building great companies in Climate Tech
• The team consists of founding members from Harvard Business School and the Workshop Ventures team — Kyler, Furman, Chad, Jason, and Ulhas

Interview Process:

• Screening: Review of your open source contributions and past projects.
• First Round of Technical Evaluation: Assessing your problem-solving and AI integration skills.
• Technical Evaluation + Cultural Fit: Understanding your alignment with our team.

                                  Job Description

Profile Title: Software Development Engineer

Location: Pune Remote

Company Profile:

Growloc Private Limited is a leading Agri-tech company in India specializing in IoT solutions for farm management. We empower farmers with innovative technology to optimize resource usage, improve yields, and ensure consistent quality produce. Backed by a team of passionate individuals, Growloc Private Limited is committed to creating a more sustainable and productive future for Indian agriculture.

Role Overview:

 We’re looking for a MERN Stack Engineer (SDE-2) who’s passionate about building impactful products and believes in working smarter—with AI copilots, automation, and lean dev cycles. You’ll be part of a high-ownership team responsible for delivering full-stack features, writing testable code, and deploying to production with CI/CD.

Key Responsibilities:

• Build and maintain robust full-stack applications using MongoDB, Nest.js, React.js, and Node.js.

• Actively leverage AI tools (Copilot, ChatGPT, etc.) for faster development, documentation, and writing test cases.

• Write and maintain unit, integration, and end-to-end tests to ensure code quality.

• Own features end-to-end—from design to deployment using modern CI/CD workflows (GitHub Actions, Vercel, AWS).

• Collaborate with product, data, and hardware teams in a lean setup to ship fast and iterate often.

• Ensure performance, responsiveness, and scalability of front-end and backend systems.

Required Skills:

• 2–5 years of professional experience building products using the MERN stack.

• Strong understanding of frontend architecture (React Hooks, Context API/Redux).

• Proficiency in Node.js, Express, and MongoDB schema design.

• Familiarity with CI/CD tools, Git workflows, and cloud deployments.

• Experience with automated testing frameworks (Jest, Mocha, Cypress, etc.).

• Demonstrated use of AI-based coding assistants in real-world development workflows.

Good to Have:

• Exposure to IoT systems or integration with hardware devices.

• Experience working with LoRaWAN protocols and sensor data ingestion.

• Familiarity with WebSockets, MQTT, or real-time data processing.

• Background in agriculture, climate-tech, or rural tech products.

• Knowledge of TypeScript or serverless architectures.

Compensation: Best as per the market standards

At Growloc, we believe in purpose-driven technology. You’ll be part of a collaborative team working at the intersection of agriculture and innovation. If you're excited about building products that matter—and making a real-world impact—this is the place for you.

The Application Developer will be responsible for developing custom solutions specializing in C# and NET technologies to support the overall enterprise application initiatives Guides team members in

Adhere to NET framework for automation projects to ensure manageability and maintainability of ode base

7+ years of work experience in developing Business IT Applications, Digital technologies, and Platform implementation

Practical experience of developing machine learning systems

Strong software skills in Python/R/C#

Experience in using machine learning frameworks and libraries such as TensorFlow a plus

Lead and work with ML engineers and data scientists to build smart automation & ML applications

Strong software troubleshooting skills, and an understanding of programming constructs in C# NET, in a MS Windows based enterprise software environment

Lead and work with ML engineers and data scientists to build smart commerce services & ML applications

Identify what kind of data in which format should be collected in order to solve the problem

Strong understanding of programming concepts and a programming background with C# NET

Strong understanding of Process Design documents, Technical Design documents and BPMN 20 standards

Strong understanding of web technologies, HTML, CSS, JavaScript, xml, xaml

Strong understanding of relational database design, writing queries and stored procedures with MySQL or Microsoft SQL

Strong understanding of Object Oriented Analysis and Development within large enterprise level applications